3 citations · 7 across the 11 of their papers we have counts for
5 papers · 1 filter
Taming Spontaneous Stop-and-Go Traffic Waves: A Computational Mechanism Design Perspective
Di Shen, Qi Dai, Suzhou Huang +1
It is well known that stop-and-go waves can be generated spontaneously in traffic even without bottlenecks. Can such undesirable traffic patterns, induced by intrinsic human drivin…
Control of a commercially available vehicle by a tetraplegic human using a brain-computer interface
Xinyun Zou, Jorge Gamez, Meghna Menon +15
Brain-computer interfaces (BCIs) read neural signals directly from the brain to infer motor planning and execution. However, the implementation of this technology has been largely…
Hierarchical Game-Based Multi-Agent Decision-Making for Autonomous Vehicles
Mushuang Liu, Yan Wan, Frank Lewis +3
This paper develops a game-theoretic decision-making framework for autonomous driving in multi-agent scenarios. A novel hierarchical game-based decision framework is developed for…
A Survey of Reinforcement Learning-Based Motion Planning for Autonomous Driving: Lessons Learned from a Driving Task Perspective
Zhuoren Li, Guizhe Jin, Ran Yu +8
Reinforcement learning (RL), with its ability to explore and optimize policies in complex, dynamic decision-making tasks, has emerged as a promising approach to addressing motion p…
Learning Autonomy: Off-Road Navigation Enhanced by Human Input
Akhil Nagariya, Dimitar Filev, Srikanth Saripalli +1
In the area of autonomous driving, navigating off-road terrains presents a unique set of challenges, from unpredictable surfaces like grass and dirt to unexpected obstacles such as…